With the ongoing advancement of technology, artificial intelligence is increasingly being integrated into banking and finance, with the transformative potential to reshape the financial performance of economies worldwide. This research investigates the dynamic relationship between banking and finance artificial intelligence technology innovation and banks' financial performance across 20 countries using the feasible generalized least squares and the generalized method of moments techniques. The results show that banking and finance artificial intelligence technology innovation positively impacts banks' return on assets, highlighting its role in enhancing financial performance. The interaction term between artificial intelligence innovation and economic growth emphasizes their collaborative positive impact on financial performance. Mediation analysis highlights information and communication technology development's role in transforming artificial intelligence innovation into improved financial outcomes. Considering lagged effects, initial innovation surges correlate with improved financial performance, but prolonged exposure leads to diminishing returns. Moreover, the findings indicate that non-performing loans negatively affect financial performance, underscoring the importance of asset quality. Additionally, regulatory capital and economic growth are positively associated with financial performance, while government regulations exhibit a negative impact. This study highlights the essential role of artificial intelligence technology innovation in banking and finance, emphasizing the need to consider economic and technological factors for maximizing its benefits in enhancing financial performance. Policy recommendations include promoting an artificial intelligence innovation ecosystem, adapting regulatory frameworks, and investing in information and communication technology infrastructure to harness artificial intelligence innovation's benefits while addressing associated challenges.

中文翻译：

---

银行业转型：研究 AI 技术创新在提升银行财务绩效方面的作用


随着技术的不断进步，人工智能正越来越多地被整合到银行和金融中，具有重塑全球经济体金融表现的变革潜力。本研究使用可行的广义最小二乘法和广义矩量法技术，调查了 20 个国家/地区的银行和金融人工智能技术创新与银行财务绩效之间的动态关系。结果表明，银行和金融人工智能技术创新对银行的资产回报率产生积极影响，凸显了其在提升财务绩效方面的作用。人工智能创新和经济增长之间的交互术语强调了它们对财务绩效的协同积极影响。中介分析突出了信息和通信技术发展在将人工智能创新转化为改善财务成果方面的作用。考虑到滞后效应，最初的创新激增与财务业绩的改善相关，但长期敞口会导致回报递减。此外，研究结果表明，不良贷款对财务绩效产生负面影响，凸显了资产质量的重要性。此外，监管资本和经济增长与财务业绩呈正相关，而政府法规则表现出负面影响。本研究强调了人工智能技术创新在银行和金融中的重要作用，强调需要考虑经济和技术因素，以最大限度地发挥其在提高财务绩效方面的效益。 政策建议包括促进人工智能创新生态系统、调整监管框架以及投资信息和通信技术基础设施，以利用人工智能创新的优势，同时应对相关挑战。